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Machine Learning Engineer Jobs in Kenosha, WI (NOW HIRING)

Yaskawa

Machine Learning Engineer

Franklin, WI · On-site

In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team ...

Bespoke Labs

Machine Learning Engineer

Kenosha, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Racine, WI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

SynergisticIT

Junior Machine Engineer

Buffalo Grove, IL · On-site

Math's is quite an important skill in the arsenal of a Machine Learning engineer. Computer Science Fundamentals and Programming. NLP and Text Mining Required. Pandas Data Analysis Required Experience ...

Varsity Tutors

Machine Learning Tutor

Buffalo Grove, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Acceler8 Talent

Research Engineer

Mundelein, IL · On-site

Deep understanding of modern machine learning and deep learning techniques * Experience training ... Engineering, Model Training, Distributed Training, Pretraining, Fine-Tuning, Post-Training ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$74K - $123K/yr

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with Inventory Reporting & Analysis (R&A). The objective of this role is to deliver high-quality, trusted ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$74K - $123K/yr

This role reports to a Senior Manager of Machine Learning Engineering and partners closely with Inventory Reporting & Analysis (R&A). The objective of this role is to deliver high-quality, trusted ...

CDW

Senior ML, MLOps Engineer

Vernon Hills, IL

$101K - $139K/yr

The Senior ML / MLOps Engineer designs, builds, and operates scalable machine learning solutions on the Databricks platform. This role partners closely with data scientists and analytics teams to ...

Cliftonlarsonallen

Senior AI Engineer

Racine, WI · On-site

$98K - $134K/yr

This position blends applied machine learning, software engineering, cloud architecture, and end-to-end solution delivery. Success in this role requires a strong understanding that production AI ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Kenosha, WI

Machine Learning Engineer information

See Kenosha, WI salary details

$30.7K

$125.6K

$188.8K

How much do machine learning engineer jobs pay per year?

As of Jun 27, 2026, the average yearly pay for machine learning engineer in Kenosha, WI is $125,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,000.00 and $151,200.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Kenosha, WI are hiring for Machine Learning Engineer jobs? Cities near Kenosha, WI with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Kenosha, WI as of June 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $125,616 per year, or $60.4 per hour.

Machine Learning Engineer

Yaskawa Electric America

Franklin, WI • On-site

Full-time

Retirement

Posted 8 days ago

Job description

Yaskawa America, Inc. - Drives & Motion Division is a U.S. corporation, created to provide Automation Solutions and Support to our customers in North America, Central America, and South America. Yaskawa is the world's largest manufacturer of AC Inverter Drives, Servo and Motion Control, and Robotics Automation Systems. Products are marketed through direct sales, partners, representatives, dealers, and distributors. Yaskawa America, Inc. - Drives & Motion Division is a wholly-owned corporation of Yaskawa Electric Corporation of Japan. Since 1915, Yaskawa Electric has served the world needs for products to improve global productivity through Automation. We look to hire people who value a positive work culture, want to be part of a winning team, and have a desire to learn and grow. Yaskawa's culture of continuous improvement values hiring individuals that are looking for the opportunity to stretch their current talents and skills to the next level and beyond.  If you have a passion for machine learning and advanced technology, we may have the perfect opportunity for you!

In this role you will support the identification and implementation of machine learning solutions across the Operations Business Unit. This engineer will work with the guidance of Operations team members to develop models, maintain automated systems, and contribute to simulation and digital twin projects that improve operational efficiency , quality and throughput. 

The ideal candidate will possess a Bachelor's degree in Computer Science, Computer Engineering, Data Science, Electrical Engineering, Industrial Engineering or a related field.  To be successful you should have 0-3 years of of professional or internship experience in machine learning, data science, or software engineering. Also proficiency in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn. Understanding of fundamental ML concepts: regression, classification, clustering, and model evaluation is a must. 

Some key advantages of working at Yaskawa include: career opportunities in diverse areas, a highly competitive benefit package, including a generous 401(K) plan, profit sharing, corporate wide bonus plan and educational assistance program offering up to $10,000 a year for graduate courses. Additional information regarding the benefit package can be found at the following link. 

https://www.yaskawa.com/about-us/careers/benefits

If the Machine Learning Engineer role sounds like a fit for your background and career goals, we would love to hear from you!

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